23 results about "Atmospheric models" patented technology

The invention discloses an aviation radiation dose global distribution real-time calculation system based on ground detection equipment, which belongs to the technical field of radiation detection and comprises a ground radiation detection module, a dose simulation module and a data correction module. The ground radiation detection module is used for continuously collecting ionizing radiation data of an atmospheric bottom layer in a calm state and a solar high-energy particle event so as to improve data precision and a signal-to-noise ratio under a weak dose, and the dose simulation module receives latitude and longitude, height and time parameters of an aviation flight path, and calculates a standard atmospheric model and a cosmic ray energy spectrum in combination with the standard atmospheric model and the cosmic ray energy spectrum. The data processing module is used for calculating theoretical dose rates and particle type distribution of different height levels based on a Monte Carlo method and outputting the theoretical dose rates and the particle type distribution, and the data correction module is used for dynamically correcting parameters and weights of simulation results by combining measured data based on a deep learning algorithm of deep learning, so that adaptive fusion of the simulation data and the measured data is realized; and the ground radiation detection module comprises a semiconductor radiation detector, a data acquisition and preprocessing unit, a remote control module and a network communication module. The system has the characteristics of high real-time performance and wide coverage range.

The invention relates to the technical field of atmospheric parameter inversion models, provides an atmospheric model construction method and system based on virtual temperature correction, and solves the problem of insufficient dynamic scene adaptability. The method comprises the following steps: acquiring a radiation brightness observation value of a satellite thermal infrared band, synchronously recording a satellite observation zenith angle and an azimuth angle, and collecting earth surface coverage type data, dew point temperature and corresponding height information; and uplink and downlink radiation components are eliminated. A normalized vegetation coverage index is calculated based on satellite red light and near-infrared band reflectivity data, a specific emissivity mapping relation is constructed in combination with a land surface coverage type, and land surface specific emissivity space distribution is inverted. And generating vertical stratified atmosphere data based on the dew point temperature and height, and constructing radiation transmission path correction parameters in combination with the observation angle. And finally, establishing an atmospheric radiation transmission model, and outputting a continuous spatialization virtual temperature field. According to the method, the problem of insufficient dynamic scene adaptability in the prior art is solved, and high-precision inversion of the atmosphere deficiency temperature vertical section is realized.

The invention belongs to the technical field of electric power meteorology, and provides a medium and long term wind and light resource prediction method and system considering climate remote correlation factors, and the method comprises the steps: obtaining global climate index historical data, and carrying out the standardization processing of the data, and obtaining a standardized climate index; for the historical resource sequence of the target station, calculating the mutual information value of the standardized climate index, and constructing a forecasting factor set by taking the lag time corresponding to the maximum value of the mutual information as the optimal early warning window period; extracting wind and light resource measured data of the same period in historical years to construct a reference probability density function; and taking the reference probability density function as prior distribution, combining a preset dynamic mode prediction result as a likelihood function, and outputting a prediction result containing a deterministic value and a confidence interval. By means of the characteristic that ocean signals change slowly, the method breaks through the 15-day prediction limit of an atmospheric mode, effective trend prediction from the quarterly level to the annual level is successfully achieved, and the requirement for medium and long term resource evaluation is met.

The embodiment of the invention provides an atmospheric modeling coefficient determination method and device, electronic equipment and a storage medium. The method comprises the following steps: determining a plurality of candidate baselines and atmospheric modeling coefficients according to coordinate values and observation values of a reference station and ephemeris of a common-view satellite, and determining modeling residuals of the plurality of candidate baselines based on the atmospheric modeling coefficients; determining whether the atmospheric modeling coefficient meets a preset condition or not; if the preset condition is not met, determining a target baseline in the plurality of candidate baselines based on the modeling residual error, removing the target baseline, and updating a plurality of auxiliary reference stations included in the reference station network by adopting auxiliary reference stations corresponding to the remaining candidate baselines, returning to continuously execute the step of determining the plurality of candidate baselines and the atmospheric modeling coefficients according to the coordinate values and the observation values of the reference stations in the reference station network and the ephemeris of the common-view satellite; and if a preset condition is met, taking the atmosphere modeling coefficient as a target atmosphere modeling coefficient. The method is used for achieving the effect of improving the accuracy and reliability of the atmospheric modeling coefficient.

The invention belongs to the field of advection atmospheric mode algorithm development, and discloses a shape-preserving advection unified calculation method and system suitable for any polygon mesh, and the method comprises the following steps: carrying out the mesh division of a calculation domain of a standard example in an advection equation algorithm; standardized grid topology information is constructed for the grid units of the computational domain; initializing a standard example in the algorithm of the advection equation; and performing discretization solution on the advection equation through standardized grid topology information to complete shape-preserving advection unified calculation. According to the method, a general advection solution with calculation precision and stability can be provided for a complex grid numerical model in the fields of atmosphere simulation, ocean circulation and the like, and the development period of an atmosphere advection mode can be remarkably shortened.

The present invention discloses a GNSS occultation open-loop prediction method based on a cubic spline interpolation algorithm, and relates to the field of occultation open-loop prediction. The method comprises: determining whether the current navigation satellite is atmospheric occulted using an occultation event prediction algorithm; obtaining position and velocity information of the atmospheric occultation and the low Earth orbit; performing occultation prediction calculations on the atmospheric occultation using an atmospheric model to obtain a model Doppler caused by satellite motion and a model pseudorange caused by a neutral atmosphere; obtaining interpolation parameters of the model Doppler and model pseudorange by caching n seconds of model Doppler, model pseudorange, and open-loop prediction time of the occultation in a 1 Hz mission using cubic spline interpolation; obtaining the 100 Hz model Doppler and model pseudorange by interpolation using the interpolation parameters; and calculating the signal transmission time using the model pseudorange; calculating the signal transmission time deviation value using the signal transmission time of the 100 Hz mission cycle, and converting the calculated signal transmission time deviation value into a hardware adjustment count for input into the FGPA adjustment, thereby performing open-loop tracking of the atmospheric occultation.

The invention relates to the technical field of data processing, and discloses a horizontal grid registration and parallel computing method and system in climate mode coupling. The method comprises the following steps: performing registration processing on an atmospheric mode component through a component identity verification algorithm to obtain a mode component identifier; analyzing the horizontal grid geometric parameters according to the mode component identifier to obtain a grid basic information set; constructing masked and maskless horizontal grid configurations based on the grid basic information set; performing parallel domain decomposition processing on the dual grid configuration to obtain a parallel decomposition mapping table; establishing a global and local grid index bidirectional mapping relationship; and performing time step synchronization registration based on the bidirectional mapping relation to obtain a coupling validity verification result. The technical problem that a self-adaptive grid registration and parallel decomposition processing mechanism for air-sea coupling special requirements is lacked in an existing climate mode coupling technology is solved.

The application discloses a complex terrain processing method and system suitable for a three-dimensional non-hydrostatic atmospheric model, which comprises the following steps: adopting preset regional terrain data and an atmospheric background field, and performing atmospheric model preprocessing on the terrain data; performing key grid identification on the preset region to obtain a grid distribution, marking terrain nearby grid points according to the grid distribution and recording distance and slope information, obtaining a marked grid distribution, dividing the marked grid distribution according to a process number and calculating a sub-region, and performing adaptive grid encryption on the sub-region; updating a forecast variable value at a next moment by updating an atmospheric equation group of the sub-region after high-order numerical discretization, generating a logarithmic velocity profile based on the Monin-Obukhov similarity theory, processing an atmospheric velocity of a boundary layer according to the logarithmic velocity profile to obtain an ideal velocity distribution curve, and outputting atmospheric motion characteristics under a complex terrain by correcting a forecast variable on a grid point near a lower surface boundary.

The application discloses a digital-twin spatial channel continuous variable quantum key distribution method, and relates to the technical field of quantum information processing.The method comprises the following steps: constructing a satellite-ground station link model between a satellite and a ground station according to satellite orbit parameter data and ground station position information, and calculating satellite-ground station link dynamic parameters; constructing an atmospheric model based on the satellite-ground station link dynamic parameters and atmospheric parameters to simulate link attenuation loss at different times under a single orbit in the satellite-ground station link; simulating quantum state preparation process to adjust quantum state parameters and combining the link attenuation loss to calculate key generation rate to distribute satellite-ground station quantum keys.The dynamic model constructed based on satellite orbit parameters and ground station positions can calculate satellite-ground station link dynamic parameters in real time, and can establish an atmospheric model to quantify link attenuation and background noise under different weather conditions, adjust quantum state preparation parameters, and maximize key generation rate under the premise of ensuring security.

The present invention discloses a load calculation system for coastal port pile foundation structures based on a coupling mode, comprising: a hydrodynamic module, which evaluates the load and mechanical properties of the port pile foundation structure under different environmental conditions; the hydrodynamic module at least includes an atmospheric mode module, a wave mode module, an ocean mode module and a coupler module; wherein the coupler module exchanges and synchronizes data between the atmospheric mode module, the wave mode module and the ocean mode module; a data conversion module, which converts wind field data, wave field data and flow field data obtained by the hydrodynamic module into aerodynamic and hydrodynamic input files of the pile foundation structure; and a finite element analysis module, which receives the aerodynamic and hydrodynamic input files, establishes a port pile foundation structure model, and calculates the stress distribution and displacement response of the pile foundation structure, wherein the simulation results output include but are not limited to the stress cloud map, displacement field distribution and buckling phenomenon of the pile foundation.

This invention relates to a unified geometric calibration method for large-scale spaceborne SAR images, comprising: collecting SAR image products and preprocessing them to obtain intensity data; constructing an RD geometric positioning model based on SAR image auxiliary files; acquiring the corresponding orthophoto and digital elevation model of the SAR image, generating a database of control points and checkpoints, thereby calculating the geometric positioning deviation of the initial RD model; determining the sources of ground geometric positioning errors based on the SAR imaging mechanism, thereby establishing error equations and a geometric calibration model; obtaining atmospheric parameters using a standard atmospheric model and combining it with the Saas-Tamonin and Krobuscher models to achieve near-real-time estimation of atmospheric path delay; calculating SAR satellite imaging error correction parameters based on the control point database and the geometric calibration model, and then updating the RD geometric positioning model. Compared with existing technologies, the unified geometric calibration method for large-scale spaceborne SAR images adopted in this invention does not require the support of a geometric calibration field and does not rely on reanalysis meteorological products, thus possessing better versatility.

The invention discloses a communication channel intelligent prediction method and device under atmospheric disturbance, and relates to the technical field of communication, and the method comprises the steps: obtaining the atmospheric feature data and corresponding height information between a satellite and a ground end, determining the atmospheric disturbance data of the corresponding height based on the atmospheric feature data and the height information, and carrying out the intelligent prediction of a communication channel based on the height information. The method comprises the following steps: generating a prediction scale, fusing the prediction scale with atmospheric disturbance data, generating an atmospheric stratification model, determining a communication channel interval between a satellite and a ground end, determining a corresponding channel interval atmospheric model in the atmospheric stratification model according to the communication channel interval, generating an atmospheric change trend based on the prediction scale and the channel interval atmospheric model, and enabling the communication channel parameters to act on an atmospheric change trend, generating a channel quality change curve, and determining a quality prediction result of the communication channel based on the prediction scale and the channel quality change curve. Through the above mode, the problem of real-time prediction of the communication channel performance in a complex atmospheric environment is solved.

The application discloses a kind of sea-air wave flow coupling optimization method based on multiscale process, to solve the adaptability of existing coupling mode in multiscale process, physical description accuracy deviation and numerical conservation stability difference and other problems.This method first improves the physical parameterization: in atmospheric model, introduce the sea surface roughness parameterization based on wave spectrum dynamic correction, in ocean model, adopt dynamic bottom friction with energy conservation constraint.At the same time, the collaborative mechanism is used: creatively, multiscale adaptive coupling dispatcher is unified with high-order non-oscillatory conservation mapping algorithm and energy spectrum conservation mapping algorithm.The closed-loop collaborative mechanism forces to use flux mapping instead of field interpolation, ensures that the transfer of momentum, mass and energy remains strictly conserved under dynamic variable-frequency coupling, overcomes the numerical conservation barrier in variable-frequency coupling, significantly improves the simulation accuracy and long-term stability under extreme conditions such as typhoon.

The invention relates to a wind resource assessment technology, discloses an atmospheric mode wind resource assessment method supporting visual parameter configuration, and solves the problems that in current wind resource assessment, the process is split, the data management efficiency is low, and result display and application are disjointed, so that efficient and accurate assessment requirements are difficult to meet. According to the scheme, the method comprises the steps that firstly, calculation parameters input by a user are obtained through a front-end visual interface, and a mode configuration file which can be directly used for atmospheric mode calling is generated; thirdly, calling an atmospheric mode based on the mode configuration file to execute numerical simulation, and generating meteorological element data containing wind speed and wind direction in combination with the preprocessed external reanalysis data; then, converting the meteorological element data from a potential height coordinate to a terrain height coordinate, and generating a map file and a time sequence file; and finally, according to the atlas file and the time sequence file, in a front-end visual interface, displaying a meteorological element atlas and a time sequence chart in the visual interface.

The invention discloses an iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method, and belongs to the technical field of low ionosphere detection. According to the iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method, an iron resonance fluorescence laser radar simulation model is constructed, and photon echo signals are simulated in combination with an NRLMSIS-00 atmosphere model and actually measured iron atom density data; analyzing the influence of laser frequency jitter and light quantum noise on the inversion precision by adopting a Monte Carlo method; then, the error performance of a frequency scanning method and the error performance of a three-frequency ratio method are compared, it is proved that the error of the frequency scanning method in temperature inversion is lower, and the iron resonance fluorescence laser radar temperature and wind speed inversion error analysis method can provide guidance for systematic error modeling and parameter design of an iron resonance fluorescence laser radar; and the accuracy of atmospheric temperature and wind speed inversion can be improved.

The application relates to the technical field of atmospheric parameter inversion model, and provides a method and system for constructing an atmospheric model based on virtual temperature correction, which solves the problem of insufficient adaptability of a dynamic scene. The application obtains a radiation brightness observation value of a satellite thermal infrared band, synchronously records a satellite observation zenith angle and an azimuth angle, and collects surface coverage type data, a dew point temperature and corresponding height information. Upward and downward radiation components are eliminated. A normalized vegetation coverage index is calculated based on satellite red light and near-infrared band reflectivity data, a surface coverage type is combined to construct a specific radiation rate mapping relationship, and a surface specific radiation rate spatial distribution is inverted. Vertical layered atmospheric data are generated based on the dew point temperature and the height, and a radiation transmission path correction parameter is constructed in combination with the observation angle. Finally, an atmospheric radiation transmission model is established, and a continuous spatialized virtual temperature field is output. The application solves the problem of insufficient adaptability of a dynamic scene in the prior art, and realizes high-precision inversion of a virtual temperature vertical profile of the atmosphere.

The invention relates to a manufacturing method of a high-precision high-altitude wind field reanalysis data set, and belongs to the technical field of meteorological high-altitude wind field fusion. According to the method, standard atmospheric pressure layer division with the interval of 250 meters of sounding second data and a standard atmospheric model, background field wind field processing based on ERA5, ERA5 and high-altitude detection wind field fusion adopting an optimal interpolation method are integrated, and a high-altitude wind field reanalysis data set is manufactured. According to the method, ERA5 reanalysis data and national high-altitude wind field detection data are fused, a high-precision high-altitude wind reanalysis data set of 80 layers below 20000 meters is made, and the data set can more finely and accurately reflect the wind field conditions of China and surrounding areas thereof.

The invention relates to the technical field of new energy output prediction, in particular to a sea-air-wave coupling meteorological field simulation and spatial-temporal characteristic analysis method and system, and the method comprises the steps: obtaining sea-air-wave multi-source meteorological data, and carrying out the preprocessing and normalization; a sea mode component, an atmosphere mode component and a sea wave mode component are introduced to carry out numerical modeling on each meteorological component, integrated modeling is carried out under a framework of a regional sea-air-wave coupling model, a bidirectional feedback mechanism among the sea, the atmosphere and the sea waves is established, and a space-time continuous coupling meteorological field is output; correcting regional space distribution of wind speed and wave height meteorological variables for the coupled meteorological field by adopting a Kriging spatial interpolation method to obtain meteorological field space-time simulation data after coupling; a convolutional neural network and a multi-layer perceptron are introduced to identify and extract key meteorological features, photovoltaic output historical data are combined, the influence of different marine meteorological elements on power prediction fluctuation is quantified by using a mutual information method, and the problem of large prediction deviation is overcome.

The invention provides a marine atmosphere-ocean current-wave multi-element coupling simulation method and a post-report environment condition database system development method.The simulation method comprises the following steps that S1, an atmosphere mode, an ocean current mode and a wave mode are established respectively, and parameterization schemes of all the modes are optimized; s2, establishing a bidirectional coupling mechanism among the atmospheric mode, the ocean current mode and the wave mode to realize data transmission and interaction among the modes; s3, collecting multi-source observation data, optimizing each mode parameter through a data assimilation technology, and evaluating the simulation precision of each mode output simulation data by adopting a statistical analysis method; and S4, according to an evaluation result, optimizing each mode parameter and a parameterization scheme, and finally generating high-precision marine environment simulation data. The technical problems that in the prior art, the marine environment multi-element high-precision coupling simulation capacity is insufficient, and efficient integrated management on multi-element and long-time-sequence marine environment data is lacked are solved.

This invention discloses a method and system for simulating urban flooding based on atmospheric-hydrological-hydraulic coupling. The method includes: acquiring a standard input dataset of the study area; constructing a unified control surface; inputting meteorological data into an atmospheric model to obtain the spatial distribution of rainfall in the study area; inputting the spatial distribution of rainfall into a hydrological model to obtain the time series results of river water levels; inputting marine data into a marine dynamic model to obtain the time series results of tidal boundaries; identifying urban boundary exchange units based on the unified control surface; establishing comprehensive inflow conditions for urban flooding to obtain the comprehensive inflow rate; and based on the comprehensive inflow rate, spatial distribution of rainfall, and dynamic drainage boundary conditions, obtaining the water depth distribution, flow velocity distribution, water volume distribution, and water accumulation evolution process in the urban area, calculating the flood risk index, and outputting the urban flooding simulation results. This invention has the advantages of improving the accuracy and reliability of urban flooding simulation results.

This invention discloses an outdoor radiometric calibration method for an infrared imager, comprising: under outdoor operating conditions, selecting observation times that meet preset radiometric calibration conditions as radiometric calibration times; within the radiometric calibration times, based on the near-time-series acquisition characteristics of sky observation signals and outer blackbody observation signals, performing differential processing on the two to obtain measured signal difference components; based on the outdoor environmental information corresponding to the radiometric calibration times, constructing a regional clear-sky atmospheric model, and using a radiative transfer model to simulate and obtain the downward infrared radiation of the clear-sky all-sky at the corresponding times, and constructing physical radiation difference components for outdoor radiometric calibration; based on multiple sets of measured signal difference components and corresponding physical radiation difference components, obtaining the full-field radiometric calibration coefficient matrix through regression analysis, and converting the infrared imaging signal into infrared radiation. This method eliminates the need to construct complex laboratory radiometric calibration conditions, allowing for direct radiometric calibration of the infrared imager in the outdoor environment.

Embodiments of the present application provide a method and device for determining atmospheric modeling coefficients, electronic equipment and a storage medium. The method comprises: determining a plurality of candidate baselines and atmospheric modeling coefficients according to coordinate values of reference stations, observation values and ephemeris of common view satellites; determining modeling residuals of the plurality of candidate baselines based on the atmospheric modeling coefficients; determining whether the atmospheric modeling coefficients meet a preset condition; if the atmospheric modeling coefficients do not meet the preset condition, determining a target baseline from the plurality of candidate baselines based on the modeling residuals, eliminating the target baseline, updating a plurality of secondary reference stations included in a reference station network using secondary reference stations corresponding to the remaining candidate baselines, and returning to continue the step of determining the plurality of candidate baselines and the atmospheric modeling coefficients according to the coordinate values of the reference stations in the reference station network, the observation values and the ephemeris of the common view satellites; and if the atmospheric modeling coefficients meet the preset condition, taking the atmospheric modeling coefficients as target atmospheric modeling coefficients. The method is used to improve the accuracy and reliability of the atmospheric modeling coefficients.